Advertiser Platforms
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Advertiser Platforms
Article | April 5, 2024
Google wants to substantially limit the information a key auditor of YouTube can share about the risks of advertising on the video service, according to people familiar with the situation, highlighting tensions between the tech giant and Madison Avenue. The auditor, New York-based OpenSlate, is refusing to sign a contract that would prevent it from reporting to clients when ads have run in videos with sensitive subject matter, including hate speech, adult content, children's content, profanity, violence and illegal substances, according to an email the firm sent this weekend to ad agencies.
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Advertiser Platforms
Article | March 12, 2024
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Advertiser Platforms
Article | January 9, 2024
Explore the expanding digital marketplace and how it's opening new opportunities for modern sales strategies. Find out how digital tools are fostering collaboration between sales and marketing.
Contents
1. Embracing Modern Sales Practices in Current Market
1.1 The Case for Modernizing Sales Approaches
2. Conceptual Framework of Digital Intelligence in Saless
2.1. Reinventing Sales Approaches in Omnichannel Methods
2.2. Implementing Data Analytics into Sales for Boosted ROI
3. How Digital Transformation Elevates Business Sales
4. Top 10 Innovators in Driving Sales through Digital Intelligence
4.1. Salesken
4.2. BoostUp
4.3. Revenue Grid
4.4. Aviso AI
4.5. Scratchpad
4.6. Seamless.AI
4.7. Lusha
4.8. Spotler UK
4.9. Pipeliner CRM
4.10. Dealfront
5. Wrap-up
1. Embracing Modern Sales Practices in Current Market
The business landscape is constantly evolving. Sales teams must embrace modern practices and strategies to stay competitive and drive revenue in this market. However, shifting long-standing sales processes can be daunting for any organization.
Studies show organizations that have adopted modern sales strategies and techniques experience increased win rates, shorter sales cycles, and expanded deal sizes. However, simply adopting new technology is not enough. Sales leaders must focus on aligning people, processes, and platforms to drive success.
The Case for Modernizing Sales Approaches
Buyer behavior has changed:
- The rise of digital sales intelligence has dramatically shifted purchase preferences.
- Sales reps can no longer be the sole source of information.
The emergence of new technologies:
- AI, predictive analytics, and sales engagement platforms open up more efficient workflows.
- Tech-forward teams see major lifts in productivity.
Increased competition:
- With globalization and more competition, sales cycles have lengthened.
- To win deals, sales teams need an edge with modern tools.
More data availability:
- Advanced analytics provide unprecedented insights into customers and every stage of the sales process.
- Data is the key to optimization.
The remote workforce:
- Location is no longer a limitation.
- Distributed teams are now the norm.
- Sales leaders must enable collaboration through digital channels.
These factors make modernization non-negotiable.
According to Gartner, 75% of B2B sales organizations will add artificial intelligence-guided selling solutions to their traditional sales playbooks by 2025. Thus, leadership must take action to embrace change.
2. Conceptual Framework of Digital Intelligence in Sales
2.1. Reinventing Sales Approaches in Omnichannel Methods
Against traditional methods, customers now engage across digital sales intelligence through countless channels, from social media to mobile apps. Omnichannel and modern sales strategies integrate these experiences into a seamless brand journey.
For instance, a customer can:
- Research products on a brand's website
- Chat with an online rep
- Complete the purchase on a mobile app
Companies with extremely strong omnichannel customer engagement retain, on average, 89% of their customers, compared to 33% for companies with weak omnichannel customer engagement.
Artificial intelligence allows brands to take omnichannel personalization to new heights. With mountains of customer data, AI systems can deliver hyper-relevant recommendations, predictive lead scoring, and tailored content. AI tools analyze customer conversations across channels to gauge sentiment. This reveals pain points, trends, and opportunities. AI can grade leads based on their potential purchase intent by analyzing a wide range of signals (demographics, behaviors, and so on). AI systems can also use client preferences and purchase histories to provide personalized product recommendations. This type of tailored content keeps customers engaged.
For example, Amazon uses AI to generate 35% of its revenue through recommended purchases.
2.2. Implementing Data Analytics into Sales for Boosted ROI
Data analytics has become an invaluable tool for sales teams seeking to boost their ROI. Implementing data analytics for sales growth can help identify the most promising leads. Salespeople can qualify and prioritize leads by analyzing lead attributes such as industry, company size, job title, and engagement metrics.
By 2026, 65% of B2B sales organizations will transition from intuition-based to data-driven.
Enhancement in current sales techniques like sales forecasting is possible due to data-driven sales providing visibility into future revenue streams. Analyzing historical performance, pipeline trends, and customer behaviors helps create accurate forecasts. Data analytics enhances businesses using predictive sales analytics capabilities for more precise forecasting.
Designing territories is a strategic exercise that determines how accounts get distributed across the sales team. By leveraging account, opportunity, and sales rep performance data, organizations can map out territories to balance workload and growth potential.
Around 70%-80% of decision-makers prefer remote human interactions or self-digital service instead of in-person interactions, citing safety, ease of scheduling, and a faster buying experience as their top three reasons.
Data assists in identifying problems such as extended sales cycles and indicates where the procedure fails. By analyzing data, organizations can tailor outreach and messaging to each customer’s needs. This process leads to more meaningful interactions and fosters stronger connections. The approach is rooted in fact-based decision-making, where data democratization across the sales organization empowers decisions backed by analytical insights. Relying on data-backed insights paves the way for continuous optimization and improvement.
3. How Digital Transformation Elevates Business Sales
Digital transformation is a top priority for businesses of all sizes to boost efficiency and drive sales growth. As consumer behavior progresses toward digital intelligence, companies must adapt their processes, technologies, and strategies to meet driving sales through digitalization.
Boosting ROI with AI, ML, and other digital advancements in sales strategies and maintaining the efficiency of businesses is achieved by innovation in business sales through digital transformation in the following five ways:
Streamlining Sales Processes
Transitioning sales processes to digital platforms provides greater workflow efficiency. This digital shift allows sales representatives to gain mobile access to customer data like purchase history and preferences. Lead management and opportunity tracking are automated through CRM systems. The digital tools also facilitate collaboration between sales and marketing teams. As a result of these integrations, streamlined workflows enable salespeople to focus on revenue-generating activities rather than manual administrative tasks.
According to McKinsey, 90 percent of companies that successfully scale automation invest more than half of their budgets in change management and capability building.
Enhancing the Customer Experience
Today's buyers expect seamless omnichannel experiences. Some digital channels like mobile apps, social media, and live chat allow businesses to engage prospects anytime, anywhere. Virtual tools also facilitate remote consultations and demos. Brands can create personalized interactions that drive satisfaction and loyalty by meeting customers through their preferred mediums.
Research by the Aberdeen group shows that companies with omnichannel customer engagement retain 89% more customers than those with weak omnichannel experiences.
Leveraging Data and Analytics
Digital technology grants access to an abundance of customer, product, and market data. Sales teams can derive actionable insights from analytics on lead behavior, win/loss rates, customer lifetime value, and more. Data-driven decision-making helps sales organizations optimize everything from targeting and messaging to resource allocation and forecasting. All these factors contribute to an accelerated sales process.
According to PwC, data-driven companies are 3 times more likely to report significant revenue growth year-over-year.
Expanding Addressable Market
Digital channels allow businesses to reach prospects beyond geographic limitations. Mobile, social media and other digital mediums provide access to a global marketplace. By establishing an online sales presence, brands can target relevant buyers across countries and regions.
Supporting multilingual websites and campaigns also enables companies to serve international audiences. Thus, qualifying expanded reach as an important aspect to achieve a larger universe of qualified leads.
According to Gartner, by 2025, 80% of B2B sales interactions between suppliers and buyers will occur through digital channels.
Automating Sales Tasks
Sales automation powered by AI and machine learning helps teams work smarter. Moreover, chatbots qualify leads through conversational interfaces. As account scoring and lead routing are handled automatically, outreach activities like email and social media engagement are also programmed and optimized over time. This leads to salespeople being freed from repetitive tasks to focus on complex deal-closing activities.
Sales Teams using marketing automation to nurture prospects experience a 451% increase in qualified leads.
4. Top 10 Innovators in Driving Sales through Digital Intelligence
Here are the best tools in digital sales intelligence that support efficient and streamlined business processes.
4.1. Salesken
Salesken gives insights into the last mile of customer-salesperson interactions. Its conversation intelligence software records, transcribes,and evaluates consumer conversations. These records provide actionable insights and enhance visibility into those conversations. Its real-time alerts on prospect activities help sales teams connect with leads at the right time.
Key Features
- Real-time prospect activity tracking
- Conversation intelligence like talk tracks and email templates
-Lead enrichment with firmographic and technographic data
A sales team improved their productivity using Salesken by over 200% in the first quarter and around 25% over the period of last 2 years.
4.2. BoostUp
BoostUp is one of the companies using data analytics for sales. It offers an all-in-one sales acceleration platform with sales intelligence, engagement, and coaching tools. It focuses on actionable insights for human sellers. BoostUp's pipeline management easily dissects data and identifies the root causes of issues affecting your pipeline.
Key Features
- Prospecting tools to identify net new accounts
- Conversation intelligence with talking points
- Develop rollups and views showing changes in rep forecasting calls
BoostUp customers have accelerated speed to insights by 4x, showcasing improved forecasting accuracy by over 25%.
4.3. Revenue Grid
Revenue Grid combines big data, AI, and sales experience to fuel its sales intelligence engine. It aims to help companies find their total addressable market (TAM). This business sales through AI helps collect real-time data from all points of consumer interaction to facilitate collaborative efforts aimed at preventing revenue losses and enhancing sales performance.
Key Features
- Identification of net new prospects with pinpoint accuracy
- Insights into prospect tech stacks
- TAM analysis to unlock a company's total revenue potential
The company has achieved a 24%higher engagement response rate.
4.4. Aviso AI
Aviso leverages AI to predict revenue outcomes and guide sales teams toward their quotas. It is one of the leading organizations using AI for sales forecasting. Its intelligent forecasting models provide unparalleled revenue predictability. It delivers AI Guided selling to enterprises and high-growth revenue teams.
Key Features
- AI-driven revenue forecasting and predictions
- Prescriptive guidance for optimal resource allocation
- Just-in-time notifications for sales plays
Aviso AI demonstrates a 40% increase in deal win rates.
4.5. Scratchpad
Scratchpad provides an intelligent assistant for sales teams to capture notes, retrieve information, and automatically log activities. It helps monitorthe evolution of commits compared to the Best Case scenario throughout the quarter and gain immediate insight into why thepipeline increased or decreased overnight.
Key Features
- Voice-powered note-taking during calls
- Contextual information retrieval
- Activity syncing with CRM and calendars
Scratchpad helped a company increase pipeline generation by 25%.
4.6. Seamless.AI
Used by leading companies, Seamless.AI offers an enterprise-grade sales intelligence platform. It is powered by over 100 million verified B2B contacts and 50 million companies. Seamless.AI is a sales assistant that qualifies leads, books meetings, and automates admin tasks. Their conversational AI engages prospects over email and SMS to personalize engagement efficiently.
Key Features
- List builder to quickly create targeted prospect lists
- Email finder to build contact lists and engage the right decision-makers
- Email automation with tracking and reminders
-Chrome extension for finding contact information across the internet
With Seamless.AI, companies frequently see ROI improvements ranging from fivefold to tenfold.
4.7. Lusha
Lusha is a leading sales intelligence and engagement platform that uses data and technology to help sales teams drive more personal and effective interactions. Lusha provides actionable intelligence to sales teams and a Chrome extension that integrates seamlessly into existing workflows. The company enriches prospect data automatically to give sales professionals the insight they need to close deals.
Key Features
- Email verification and deliverability to maximize campaign performance
- Contact insights like seniority, social profiles, and connections
- Lead scoring and activity tracking
- Instant data prompts to minimize research time
Lusha closed 25% more deals for a company through 280M+ contacts.
4.8. Spotler UK
Spotler is an AI-powered sales intelligence platform that delivers actionable insights on prospects and customers. With Spotler's intuitive interface and wealth of insights, sales teams can quickly identify high-potential accounts, uncover customer trigger events, and personalize outreach for greater sales productivity. It provides lead generation and automation to improve the sales pipeline.
Key Features
- Comprehensive intent data and ABM based on web activity
- Seamless integration with popular CRMs and sales tools
- Automated workflow tool for lead nurturing
- Utilise advanced personalization techniques to track and retarget abandoned carts.
Spotler UK helped a company achieve an 11X return on investment through personalization.
4.9. Pipeliner CRM
Pipeliner CRM aims to empower sales teams with actionable intelligence throughout the sales cycle. Pipeliner centralizes contacts, accounts, and deals while providing actionable suggestions based on signals in the data. Sales reps gain an accurate forecast while managers have transparency into team performance.
Key Features
- Interactive sales pipeline with AI-powered insights on win probability
- Sales productivity analytics to identify areas for improvement
- Automated data enrichment and scoring to focus on hot leads
- Interactive sales pipeline with AI-powered insights
4.10. Dealfront
Dealfront helps sales teams move swiftly on the best opportunities by aggregating buyer and account data. Its real-time alerts notify users of any account changes. Dealfront equips salespeople with a complete view of target buyers and accounts. By centralizing data points from the web and aggregator sites, reps can focus on selling with a competitive edge.
Key Features
- Fast prospecting with company and contact search
- Market research reports to understand accounts
- Powerful intent data and lead scoring to identify high-propensity targets
- Contact information and org charts for personalized outreach
Connect with the right decision makers from over 180M+ contacts to turn them into B2B leads.
5. Wrap-up
The transition to digital platforms in sales processes marks a significant evolution in how businesses operate. This digital transformation improves workflow efficiency and provides more access to crucial customer data. It also streamlines collaboration between the sales and marketing teams.
This trend of sales intelligence is bound to continue, with digital tools becoming even more sophisticated. Developments in artificial intelligence and machine learning are likely to offer even deeper insights into customer behavior. This will further personalize the sales experience. Additionally, integrating virtual and augmented reality technologies has the potential to revolutionize how products and services are demonstrated and sold.
The future of sales is also set to become more predictive and proactive. With the vast amount of data collected, modern B2B sales strategies can be increasingly driven by predictive analytics. This enables sales teams to anticipate customer needs and preferences before they are even expressed. Businesses might offer tailored solutions to customers at the right time, leading to a more intuitive sales process.
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